Job description

Location: For Those Who Work At Home, Georgia Position Summary We are seeking a specialist with experience designing, training, and operationalizing intelligent document-processing solutions. The ideal candidate combines applied AI and machine learning expertise with cloud data engineering, secure information handling, and configurable business-rule automation. This role focuses on turning unstructured and semi-structured documents into accurate, auditable, and actionable data products. Core Technical Skills Intelligent Document Processing (IDP), optical character recognition (OCR), and document classification Training, evaluating, and tuning document extraction models for structured, semi-structured, and handwritten content Entity and field extraction, confidence scoring, quality metrics, and model accuracy assessment Document preprocessing, page-level validation, exception detection, and human-in-the-loop review patterns Python development for data processing, automation, model integration, and reusable components Cloud-native data pipelines using object storage, analytical databases, batch processing, and job orchestration Configuration-driven validation using YAML or similar formats to separate business rules from application code Data normalization, reconciliation, tolerance handling, and comparison against authoritative data sources Encryption, decryption, sensitive-data controls, auditability, and secure cloud processing API and system integration for ingesting documents, publishing results, and supporting downstream workflows Applied AI and Machine Learning Practical experience with document AI platforms or comparable machine learning services Understanding of supervised model training, labeling strategies, evaluation datasets, confidence thresholds, and error analysis Ability to identify when OCR, rules-based logic, machine learning, or generative AI is the appropriate solution Experience applying large language models to document understanding, unstructured content analysis, summarization, or reasoning use cases Knowledge of responsible AI practices, including explainability, traceability, quality controls, and review escalation Data and Platform Engineering Experience with cloud object storage, SQL-based analytical platforms, and production data pipelines Batch and event-driven processing patterns, workflow orchestration, retries, monitoring, and operational support Data modeling for extracted values, confidence scores, validation results, and processing history CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code practices Observability and troubleshooting across model, application, data, and integration layers Business and Delivery Capabilities Ability to translate document-review procedures into clear technical requirements and configurable validation rules Collaboration with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteria Clear documentation of model behavior, processing logic, decision outcomes, and operational procedures Ability to communicate complex AI and data-processing concepts to technical and non-technical stakeholders Focus on scalable, reusable solutions rather than one-off document automations Required Qualifications Bachelor s Degree in Information Systems, Computer Science, Data Analytics, or related technical field Hands-on experience delivering document-processing or information-extraction solutions in a regulated industry Experience with sensitive or confidential information and enterprise security controls Familiarity with cloud-based machine learning and data platforms Knowledge of financial-services, legal, healthcare, insurance, or other document-intensive workflows Experience designing exception-based workflows that reduce manual review while preserving quality and control This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/14/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance keybank.com. #LI-Remote

Requirements

Must-haves

For Those Who Work At Home, Georgia
Core Technical Skills
Intelligent Document Processing (IDP), optical character recognition (OCR), and document classification
Training, evaluating, and tuning document extraction models for structured, semi-structured, and handwritten content
Entity and field extraction, confidence scoring, quality metrics, and model accuracy assessment
Document preprocessing, page-level validation, exception detection, and human-in-the-loop review patterns
Python development for data processing, automation, model integration, and reusable components
Cloud-native data pipelines using object storage, analytical databases, batch processing, and job orchestration
Configuration-driven validation using YAML or similar formats to separate business rules from application code
Data normalization, reconciliation, tolerance handling, and comparison against authoritative data sources
Encryption, decryption, sensitive-data controls, auditability, and secure cloud processing
API and system integration for ingesting documents, publishing results, and supporting downstream workflows
Applied AI and Machine Learning
Practical experience with document AI platforms or comparable machine learning services
Understanding of supervised model training, labeling strategies, evaluation datasets, confidence thresholds, and error analysis
Ability to identify when OCR, rules-based logic, machine learning, or generative AI is the appropriate solution
Experience applying large language models to document understanding, unstructured content analysis, summarization, or reasoning use cases
Knowledge of responsible AI practices, including explainability, traceability, quality controls, and review escalation
Data and Platform Engineering
Experience with cloud object storage, SQL-based analytical platforms, and production data pipelines
Batch and event-driven processing patterns, workflow orchestration, retries, monitoring, and operational support
Data modeling for extracted values, confidence scores, validation results, and processing history
CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code practices
Observability and troubleshooting across model, application, data, and integration layers

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonapisqlci/cd

Platform: workday
Effort: long